Abstract：Given the widespread demand for digital health services, a systematic study on the quality of digital health services is essential. Based on the current situation of tertiary hospitals in central China providing digital health services via social media, we used the Cronbach and Bayesian Best and Worst methods to evaluate the quality of hospital digital health services and conduct an empirical study of several hospitals. Based on the results of the empirical study, we propose a path for constructing a digital health service platform, suggesting that hospitals focus on building business function services of social media and accelerate the development of Internet hospitals. Hospitals should also improve the operation and maintenance of social media, optimize the intelligence of online guidance, and simplify the design logic of function menus. In terms of content information services, hospitals need to design targeted content according to the characteristics of different social media, improve content quality, and ensure the appropriate proportion of various types of information. With such measures, hospitals can guide users to use social media through business function services and retain users through content information services to increase the influence of hospitals and the quality of social health welfare.

Keywords：Bayesian best and worst method；Cronbach；Digital health；Hospital；Social media

该文2023年8月在线发表于《IEEE Transactions on Engineering Management》，该期刊为武汉大学经济与管理学院学术期刊分级方案B+级奖励期刊。

原文链接：https://ieeexplore.ieee.org/document/10199134